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Diffusion of innovations

About: Diffusion of innovations is a research topic. Over the lifetime, 2139 publications have been published within this topic receiving 191397 citations. The topic is also known as: diffusion of innovation & diffusion of innovations theory.


Papers
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Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, the authors developed a comprehensive theoretical model through the integration of four dominant theories, including the technology-organization-environment framework (TOE), fit viability model (FVM), diffusion of innovations (DOI), and institutional theory (INT), to understand the factors affecting the CC adoption at the organizational level of HEIs.
Abstract: Cloud computing (CC) is a new computing paradigm in higher educational institutions (HEIs) CC allows educational services to be delivered at anytime anywhere settings Despite all its advantages, the adoption of CC in general and cloud-based education as a service (CEaaS) in specific is still not yet clearly understood in HEIs Besides, there is a scarce of knowledge regarding the adoption of CC at the organizational level Therefore, this study aims to develop a comprehensive theoretical model through the integration of four dominant theories, including the technology-organization-environment framework (TOE), fit viability model (FVM), diffusion of innovations (DOI), and institutional theory (INT) The primary purpose of the developed model is to understand the factors affecting the CC adoption at the organizational level of HEIs It is believed that the developed model would assist the decision-makers in HEIs to make informed decisions concerning the future implementation of CC Theoretical contributions and practical implications were also discussed

12 citations

Journal ArticleDOI
TL;DR: This study examines market acceptance for the satellite digital multimedia broadcasting (DMB) service, one of the touted new business models in Korea's next-generation mobile communications service market, using adoption and diffusion of innovation as the theoretical framework and survey results conducted through one-to-one interviews.
Abstract: This study examines market acceptance for the satellite digital multimedia broadcasting (DMB) service, one of the touted new business models in Korea's next-generation mobile communications service market, using adoption and diffusion of innovation as the theoretical framework. Market acceptance for the satellite DMB service was assessed by predicting the demand of the service using the Bass model, and the demand variability over time was then analysed by combining the innovation adoption model proposed by Rogers (Diffusion of Innovations (5th edn). The Free Press: New York, 2003). In our estimation of the Bass model, we derived the coefficient of innovation and the coefficient of imitation using actual diffusion data from the mobile telephone service market. We also reorganized the demand data along the diffusion timeline according to Rogers' innovation adoption model, using the responses by survey subjects concerning their respective projected time of adoption. The demand prediction model revealed that diffusion for both took place forming a classical S-curve. Concerning variability in demand for the satellite DMB service, our findings, much in agreement with Rogers' view, indicated that demand was highly variable over time and depending on the adopter group. This study, as an attempt to measure the market acceptance for the satellite DMB service, a leading next-generation mobile communications service product, stands out from related studies in that it estimates the nature and level of acceptance for specific customer categories, using theories of innovation adoption and diffusion and survey results conducted through one-to-one interviews. The findings and theoretical application procedures provide practical insights into further research on market analysis of new mobile communications service-related products. Copyright © 2007 John Wiley & Sons, Ltd.

12 citations

01 Jan 2013
TL;DR: In this article, the authors investigated factors that influence adoption and usage of e-shopping, especially in Malaysia, based on the diffusion of innovations (DOI) theory and found that perceived relative advantage was the most significantly related factor to e-commerce adoption in Malaysia.
Abstract: Nowadays, the Internet has become an essential part of our lives. It has entered all sectors of our daily activities: business, communication, Shopping, and personal life. This study, based on the diffusion of innovations (DOI) theory investigates factors that influence adoption and usage of e-shopping, especially, in Malaysia. Factors were empirically tested against data collected from 375 participants using survey questionnaires. Perceived Relative advantage was found to be the most significantly related factor affecting e-shopping adoption in Malaysia, followed in turn by Privacy and Compatibility. Security of the Internet had a notable effect on e-shopping and adoption in Malaysia. However there is no significant in consumers’ attitude towards online shopping based on complexity. The results show that if students worry about whether their information due to the process of online shopping will be used for other purposes, it will reduce their purchase attitude. In other words, students will evaluate online shopping based on such perceptions as whether the purchase through online will bring additional advantages, and, at the same time, be compatible with their current life style. Customers shop online to save time and effort.

12 citations

Dissertation
01 Jun 2014
TL;DR: In this paper, the authors proposed a new model that helps explain the adoption of learning innovations within UK universities, using a quantitative survey approach and utilising a questionnaire instrument, data was collected from staff members from a number of UK universities.
Abstract: Rapid changes affecting the whole world did not spare universities as they face a lot of challenges and pressures. The national and international competition between universities is gaining more momentum. Many universities are experimenting with and adopting different innovative approaches and technologies an attempt to enhance their education and services to secure more students and funds. The topic of innovation received quite a lot of attention in recent years. Despite the growing attention to innovation in services, however, little attention has been given to innovations and their diffusion in universities. A number of theories and models were developed and validated in different contexts to help explain the adoption of innovations and technologies. However, such theories and models did not lead to a significantly better understanding of what leads to the adoption and diffusion of innovations within universities. Based on well-established adoption theories and models, this study proposed a new model that helps explain the adoption of learning innovations within UK universities. Two education-related constructs expected to influence innovation adoption were also developed and tested. Using a quantitative survey approach and utilising a questionnaire instrument, data was collected from staff members from a number of UK universities. Analysis of data showed that the proposed model explains up to 30%, and in some cases more, of the variance in the innovation adoption behaviour of staff members in UK universities. Model testing and development resulted in some interesting new relationships and influences that had not previously reported. For instance, the students‘ requirements and expectations constructs proposed was found to influence the intention as well as the use of innovations. Practical recommendations to help UK universities in diffusing innovations are also discussed in detail at the end of this study, which concludes by emphasising the importance of nurturing staff members to encourage and promote innovation in learning.

12 citations

Journal ArticleDOI
TL;DR: A deep understanding of the institutionalization of OSS is provided by showing that it has not only diffused among organizations, but is also taken-for-granted in thought and social action.
Abstract: Context: Almost a decade ago, researchers in information systems and analysts of the information technology (IT) industry were predicting a bright future for open source software (OSS). Recent examples appear to lend support to this, but there exist many detractors of OSS and resistance to the transformation it creates. Thus, it is relevant to take a closer look at the institutionalization of OSS. Objective: This paper evaluates the extent of OSS institutionalization in organizations. A practice or innovation is said to be institutionalized when it is taken-for-granted and its use becomes the norm. Method: Drawing on institutional theory, the underlying concept of organizing vision and the rhetorical theory of diffusion of innovations, we analyze OSS institutionalization through the observation of the evolution of the public discourse about OSS and, simultaneously, the observation of the rate of adoption or diffusion of OSS in organizations. Results: OSS has become institutionalized for many back-end applications and is gradually becoming institutionalized for some front-end applications, mainly in small and medium enterprises but also in organizations in the financial, publishing, education, government and public sectors. Using the rhetorical theory of diffusion of innovations in tandem with the concept of organizing vision, we provide a deep understanding of the institutionalization of OSS by showing that it has not only diffused among organizations, but is also taken-for-granted in thought and social action. The positive tone and prominence of the public discourse on OSS have an important role to play in its institutionalization. Conclusion: The institutionalization of OSS in organizations cannot be underestimated by IT and business executives as well as key players in the IT industry. Future research efforts should be pursued and directed toward the institutionalization of particular OSS applications in a variety of industries and geographic regions.

12 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202310
202236
202172
202078
201977
201898